Python Task-runner Resources

MultiMAE: Multi-modal Multi-task Masked Autoencoders Roman Bachmann*, David Mizrahi*, Andrei Atanov, Amir Zamir Website | arXiv | BibTeX Official PyTo

NLP Albumentations For Data Augmentation This repository contains helper functions which can help you generate additional data points depending on you

KB-NER: a Knowledge-based System for Multilingual Complex Named Entity Recognition The code is for the winner system (DAMO-NLP) of SemEval 2022 MultiC

❤ THIS REPO WILL CLOSED IN 31 OCT 00:00 ❤ This repository will automatically assign the hacktoberfest and hacktoberfest-accepted labels to all submitt

TorchMultimodal (Alpha Release) Introduction TorchMultimodal is a PyTorch library for training state-of-the-art multimodal multi-task models at scale.

The Official Implementation of CLIB (Continual Learning for i-Blurry) Online Continual Learning on Class Incremental Blurry Task Configuration with An

Note: This repo is adpoted from https://github.com/UNIMIBInside/Smart-Mobility-Prediction. Due to technical reasons, I did not fork their code. Introd

BaggageAI Internship Task Problem Statement: You are given two sets of images:- background and threat objects. Background images are the background x-

This is the official implementation of our paper: Bowen Wen, Wenzhao Lian, Kostas Bekris, and Stefan Schaal. "CaTGrasp: Learning Category-Level Task-R

Improving evidential deep learning via multi task learning It is a repository of AAAI2022 paper, “Improving evidential deep learning via multi-task le

Dual-task Pose Transformer Network The source code for our paper "Exploring Dual-task Correlation for Pose Guided Person Image Generation“ (CVPR2022)

pytube-runner This is a Python CLI script for downloading individual videos from YouTube. The pytube project is the core of this runner, so naturally

DexterRedTool Author: Dexter Delandro CSEC 473 - Spring 2022 This tool persisten

Using PyTorch Perform intent classification using three different models to see which one is better for this task

Auto-Lambda This repository contains the source code of Auto-Lambda and baselines from the paper, Auto-Lambda: Disentangling Dynamic Task Relationship

RerrFact This repository contains the code for: RerrFact model for SciVer shared task. Setup for Inference 1. Download SciFact database Download the S

Multi-task head pose estimation in-the-wild We provide C++ code in order to replicate the head-pose experiments in our paper https://ieeexplore.ieee.o

pyLodeRunner Classic Lode Runner clone made in pyxel (Python) Controls arrow key : move the player X : dig right side Z : dig left side ESC : quit gam

Parallel web scraping The project is a training task for web scraping using python multithreading and a real-time-updated list of available proxy serv

Task-Informed Meta-Learning This repository contains examples of Task-Informed Meta-Learning (paper). We consider two tasks: Crop Type Classification

A python script that will automate the boring task of login to the captive portal again and again

Nash-MTL Official implementation of "Multi-Task Learning as a Bargaining Game". Setup environment conda create -n nashmtl python=3.9.7 conda activate

MetaBalance: Improving Multi-Task Recommendations via Adapting Gradient Magnitudes of Auxiliary Tasks Introduction This repo contains the pytorch impl

TGraM Multi-Object Tracking in Satellite Videos with Graph-Based Multi-Task Modeling, Qibin He, Xian Sun, Zhiyuan Yan, Beibei Li, Kun Fu Abstract Rece

Scripts to convert the Ted-MDB corpora into the formats for DISRPT shared task and the converted corpora.

gramcorrector A simple tutoral for error correction task, based on Pytorch Grammatical Error Detection (sentence-level) a binary sequence-based classi

Nash-MTL Official implementation of "Multi-Task Learning as a Bargaining Game". Setup environment conda create -n nashmtl python=3.9.7 conda activate

SqueezeNet-Implementation This repository attempts to replicate the SqueezeNet architecture using TensorFlow discussed in the research paper: "Squeeze

1st place solution in CCF BDCI 2021 ULSEG challenge This is the source code of the 1st place solution for ultrasound image angioma segmentation task (

Grad2Task: Improved Few-shot Text Classification Using Gradients for Task Representation Prerequisites This repo is built upon a local copy of transfo

FocusFace This is the official repository of "FocusFace: Multi-task Contrastive Learning for Masked Face Recognition" accepted at IEEE International C

A task Provided by A respective Alternal Ai and Ml based Company to complete it .

T2Net Task Transformer Network for Joint MRI Reconstruction and Super-Resolution (MICCAI 2021) [Paper][Code] Dependencies numpy==1.18.5 scikit_image==

Creating Multi Task Models With Keras About The Project! I used the keras and Tensorflow Library, To build a Deep Learning Neural Network to Creating

Task Overview | Installation Instructions | Link to Module 2 Introduction Experience Technology at JP Morgan Chase Try out what real work is like in t

📑 Introduction A curated collection of Amazing Python scripts from Basics to Advance with automation task scripts. This is your Personal space to fin

Task Overview | Installation Instructions | Link to Module 3 Introduction Experience Technology at JP Morgan Chase Try out what real work is like in t

Self-Supervised Anomaly Segmentation Intorduction This is a PyToch implementation of A Novel Self-supervised Learning Task Designed for Anomaly Segmen

Task-manager-CLI with Priority Modification The functions for the app have been written in task.py file. 1. Install Node.js This project requires Node

Processing-Files-using-MySQL This is a repository for a task assigned to me by Bilateral solutions! Task: Make Folders named Processing,queue and proc

NeuroFind A solution to the to the Task given by the Oberseminar of Messtechnik

GDSC-ML-Team---Interview-Task Task 1 : Clean or Messy room In this task we have to classify the given test images as clean or messy. - Link for datase

CLI based task manager tool This is the simple CLI tool can be helpful in increasing your productivity. More like your todolist. It uses Postgresql as

A novel Engagement Detection with Multi-Task Training (ED-MTT) system which minimizes MSE and triplet loss together to determine the engagement level of students in an e-learning environment.

Applying BERT Fine Tuning to Sentiment Classification on Amazon Reviews Abstract Sentiment analysis has made great progress in recent years, due to th

LibMTL LibMTL is an open-source library built on PyTorch for Multi-Task Learning (MTL). See the latest documentation for detailed introductions and AP

A Straightforward Framework For Video Retrieval Using CLIP This repository contains the basic code for feature extraction and replication of results.

LetsGrowMore-Internship Completed task 1 and task 2 at LetsGrowMore as a data science intern. Task 1- Task 2- Creating a Decision Tree classifier and

Multi-task Multi-agent Soft Actor Critic for SMAC Overview The CARE formulti-task: Multi-Task Reinforcement Learning with Context-based Representation

Pose-Estimation This repo is a sub-task of the smart hospital bed project which is about implementing the task of pose estimation 😄 Many thanks to th

Meta learning algorithms to train cross-lingual NLI (multi-task) models

Making Emojis More Predictable by Karan Abrol, Karanjot Singh and Pritish Wadhwa, Natural Language Processing (CSE546) under the guidance of Dr. Shad

outlog Outlog it's a library to make logging a simple task!. I'm a lazy python user, the times that i do logging on my apps it's hard to do, a lot of

BRATS 2021 Solution For Segmentation Task This repo contains the supported pytorch code and configuration files to reproduce 3D medical image segmenta

Python-Automation-with-openpyxl Using openpyxl in Python, performed following tasks on an Excel Sheet containing Product Suppliers along with their pr

CoNLL-English NER Task en | ch Motivation Course Project review the pytorch framework and sequence-labeling task practice using the transformers of Hu

Dagon - An Asynchronous Task Graph Execution Engine Dagon is a job execution sys

DistilBERT-Text-mining-authorship-attribution Dataset used: https://www.kaggle.com/azimulh/tweets-data-for-authorship-attribution-modelling/version/2

A task scheduler with task scheduling, timing and task completion time tracking functions. Could be helpful for time management in daily life.

MothPruning Scientific Overview Originally inspired by biological nervous systems, deep neural networks (DNNs) are powerful computational tools for mo

MT-ORL: Multi-Task Occlusion Relationship Learning Official implementation of paper "MT-ORL: Multi-Task Occlusion Relationship Learning" (ICCV 2021) P

Linear CLI (Unmaintained) Simple CLI interface for linear task manager Usage Install: pip install linearcli Setup: Generate a pe

Task-Aware Variational Adversarial Active Learning - Official Pytorch implementation of the CVPR 2021 paper Kwanyoung Kim, Dongwon Park, Kwang In Kim,

DGMS This is the code of the paper "Finding the Task-Optimal Low-Bit Sub-Distribution in Deep Neural Networks". Installation Our code works with Pytho

Tensorflow solution of NER task Using BiLSTM-CRF model with Google BERT Fine-tuning

📑 Introduction A curated collection of Amazing Python scripts from Basics to Advance with automation task scripts. This is your Personal space to fin

Siamese Deep Neural Networks for Semantic Text Similarity PyTorch A repository c

Multi Task Learning for 3D segmentation Perception stack of an Autonomous Drivin

PixelSSL is a PyTorch-based semi-supervised learning (SSL) codebase for pixel-wise (Pixel) vision tasks. The purpose of this project is to promote the

LABES This is the code for EMNLP 2020 paper "A Probabilistic End-To-End Task-Oriented Dialog Model with Latent Belief States towards Semi-Supervised L

Asynchronous serverless task queue with timed leasing of tasks. Threaded implementations for SQS and local filesystem.

T-Zero This repository serves primarily as codebase and instructions for training, evaluation and inference of T0. T0 is the model developed in Multit

HOPE: A Task-Oriented and Human-Centric Evaluation Framework Using Professional Post-Editing Towards More Effective MT Evaluation Place holder for dat

Joint-task Self-supervised Learning for Temporal Correspondence Project | Paper Overview Joint-task Self-supervised Learning for Temporal Corresponden

Multi-task Self-supervised Object Detection via Recycling of Bounding Box Annotations (CVPR 2019) To make better use of given limited labels, we propo

Crystal-AI A simple AI that will give you si ple task and this is made with python Prerequsites: Python3.6.2 pyttsx3 pip install pyttsx3 pyaudio pip i

pypyr task-runner cli & api for automation pipelines. Automate anything by combining commands, different scripts in different languages & applications into one pipeline process.

Procrastinate: PostgreSQL-based Task Queue for Python Procrastinate is an open-source Python 3.7+ distributed task processing library, leveraging Post

Intro Clepsydra is a mini framework for task scheduling All parts are designed to be replaceable. Main ideas are: No pickle! Tasks are stored in reada

Zalo AI challenge 2021 task Hum to Song pipeline: Chuẩn bị dữ liệu cho quá trình train: Sửa các file đường dẫn trong config/preprocess.yaml raw_path:

dask-memusage If you're using Dask with tasks that use a lot of memory, RAM is your bottleneck for parallelism. That means you want to know how much m

Jug: A Task-Based Parallelization Framework Jug allows you to write code that is broken up into tasks and run different tasks on different processors.

Django-Task-Manager Task Tracker using Python Django About The Project This project is an orgizational tool to keep track of tasks/projects and the ti

Clearly see and debug your celery cluster in real time! Do you use celery, and monitor your tasks with flower? You'll probably like Clearly! 👍 Clearl

CLIN-X (CLIN-X-ES) & (CLIN-X-EN) This repository holds the companion code for the system reported in the paper: "CLIN-X: pre-trained language models a

Text-Adventure-Game [Open Source] A group project by the Python TASK Force

Citymall-task Api's bulid in Flask perfom to manage Todo Task. Installation Requrements : Python: 3.10.0 MongoDB create .env file with variables DB_UR

Multi-task Learning of Order-Consistent Causal Graphs (NeuRIPs 2021) Authors: Xinshi Chen, Haoran Sun, Caleb Ellington, Eric Xing, Le Song Link to pap

Dense Passage Retrieval Dense Passage Retrieval (DPR) - is a set of tools and models for state-of-the-art open-domain Q&A research. It is based on the

Few-shot Natural Language Generation for Task-Oriented Dialog This repository contains the dataset, source code and trained model for the following pa

12-in-1: Multi-Task Vision and Language Representation Learning Please cite the following if you use this code. Code and pre-trained models for 12-in-

INSTA: Learning Instance and Task-Aware Dynamic Kernels for Few Shot Learning This repository provides the implementation and demo of Learning Instanc

💃 VALSE: A Task-Independent Benchmark for Vision and Language Models Centered on Linguistic Phenomena.

YOLOv5DS Multi-task yolov5 with detection and segmentation based on yolov5(branch v6.0) decoupled head anchor free segmentation head README中文 Ablation

emoji2vec This is my attempt to train, visualize and evaluate emoji embeddings as presented by Ben Eisner, Tim Rocktäschel, Isabelle Augenstein, Matko

Lime Comparing deep contextualized model for sentences highlighting task. In addition, take the classic explanation model "LIME" with bert-base model

MT3: Multi-Task Multitrack Music Transcription MT3 is a multi-instrument automatic music transcription model that uses the T5X framework. This is not

KIDA: Knowledge Inheritance in Data Aggregation This project releases our 1st place solution on NeurIPS2021 ML4CO Dual Task. Slide and model weights a

Task Management System A task management app for Projects created using Django v4.0 and Python 3.8 for educational purpose. This project was created d

System Monitoring Center GTK3 and Python 3 based, system performance and usage monitoring tool. Features: Detailed system performance and usage usage